A survey of evolutionary computation for association rule mining
Abstract Association Rule Mining (ARM) is a significant task for discovering frequent patterns
in data mining. It has achieved great success in a plethora of applications such as market …
in data mining. It has achieved great success in a plethora of applications such as market …
A survey on particle swarm optimization for association rule mining
G Li, T Wang, Q Chen, P Shao, N ** and Gaussian mutation for solving engineering optimization problems
X Zhao, Y Fang, S Ma, Z Liu - Expert Systems with Applications, 2022 - Elsevier
Abstract Moth–Flame Optimization (MFO) is widely utilized to solve optimization problems in
different fields since it has a simple structure and easy implementation. However, MFO …
different fields since it has a simple structure and easy implementation. However, MFO …
A parallel metaheuristic approach for ensemble feature selection based on multi-core architectures
Ensemble learning have emerged as a useful machine learning technique, which is based
on the idea that combining the output of multiple models instead of using a single model …
on the idea that combining the output of multiple models instead of using a single model …
[HTML][HTML] Implementation of nature-inspired optimization algorithms in some data mining tasks
Data mining optimization received much attention in the last decades due to introducing new
optimization techniques, which were applied successfully to solve such stochastic mining …
optimization techniques, which were applied successfully to solve such stochastic mining …
A new haze removal approach for sky/river alike scenes based on external and internal clues
J Zhang, F He, Y Chen - Multimedia Tools and Applications, 2020 - Springer
Sky/river alike areas are important parts of natural scenes. The haze of these areas will
impact the vividness of natural scenes. More serious, once the haze occurs in navigation of …
impact the vividness of natural scenes. More serious, once the haze occurs in navigation of …